Year : 2023
An Exponential Linear Unit Based Neural Network Approach For Optimizing Numerical Solutions of Stochastic Integral Equation
Cite this Research Publication :
Soumyendra Singh, An Exponential Linear Unit Based Neural Network Approach For Optimizing Numerical Solutions of Stochastic Integral Equation, J. Integral Equations Applications, 2023.
Year : 2023
A numerical simulation of non-linear stochastic Itô-Volterra integral equations driven by multi- fractional Gaussian noise
Cite this Research Publication : S. Singh, D Chaudhary, M K Gola, Muskan, Priyadharshini A R and Krithika S, "A numerical simulation of non-linear stochastic Itô-Volterra integral equations driven by multi- fractional Gaussian noise”, Materials Today: Proceedings, In press, 2023.
Year : 2023
Bernstein polynomial approximation of non-linear stochastic Itô-Volterra integral equations driven by multi-fractional Gaussian noise
Cite this Research Publication : S. Singh, D Chaudhary, M K Gola, Priyadharshini A R and Krithika S "A Bernstein polynomial approximation of non-linear stochastic Itô-Volterra integral equations driven by multi-fractional Gaussian noise", Materials Today: Proceedings, In press, 2023
Year : 2022
Analysis of stochastic fitzhugh–nagumo equation for wave propagation in a neuron arising in certain neurobiology models
Cite this Research Publication : S. Singh, S. Saha Ray "Analysis of stochastic fitzhugh–nagumo equation for wave propagation in a neuron arising in certain neurobiology models", International Journal of Biomathematics, 15(05), 2250027, 2022
Year : 2020
Numerical solution of nonlinear stochastic Itô – Volterra integral equation driven by fractional Brownian motion
Cite this Research Publication :
S. Saha Ray, Soumyendra Singh, Numerical solution of nonlinear stochastic Itô – Volterra integral equation driven by fractional Brownian motion, Engineering Computations, 2020
Year : 2020
New Stochastic Operational Matrix Method based on Chebyshev Wavelets for Solution of Stochastic Itô-Volterra Integral Equations Driven by Fractional Brownian Motion
Cite this Research Publication : S. Saha Ray, S. Singh, “New Stochastic Operational Matrix Method based on Chebyshev Wavelets for Solution of Stochastic Itô-Volterra Integral Equations Driven by Fractional Brownian Motion”, Stochastic Analysis and Applications, 2020, 39(2), pp. 224–234.
Publisher : Stochastic Analysis and Applications
Year : 2020
New Stochastic Operational Matrix Method based on Bernstein polynomials for Solution of Non-Linear Stochastic Itô-Volterra Integral Equations Driven by Fractional Brownian Motion
Cite this Research Publication : S. Saha Ray, S. Singh, “New Stochastic Operational Matrix Method based on Bernstein polynomials for Solution of Non-Linear Stochastic Itô-Volterra Integral Equations Driven by Fractional Brownian Motion”, Engineering Computations, 37(9), pp. 3243–3268
Publisher : Engineering Computations
Year : 2020
A Stochastic Operational Matrix Method for Numerical Solutionsof mixed Stochastic Volterra–Fredholm Integral Equations
Cite this Research Publication :
S. Singh, S. Saha Ray,” A Stochastic Operational Matrix Method for Numerical Solutionsof mixed Stochastic Volterra–Fredholm Integral Equations”, International Journal of Wavelets, Multiresolution and Information Processing, 18(02), 2050005. (2020)
DOI: doi.org/10.1142/S0219691320500058
Publisher : International Journal of Wavelets, Multiresolution and Information Processing
Year : 2019
Stochastic operational matrix of Chebyshev wavelets for solving multi-dimensional stochastic Itô –Volterra integral equations
Cite this Research Publication : S. Singh, S. Saha Ray, “Stochastic operational matrix of Chebyshev wavelets for solving multi-dimensional stochastic Itô –Volterra integral equations”, International Journal of Wavelets, Multiresolution and Information Processing, 17(1), 195007, 16 pages (2019)
Publisher : International Journal of Wavelets, Multiresolution and Information Processing
Year : 2019
New Exact Solutions for the Wick-type Stochastic Nonlinear Schrödinger Equation in Nonlinear Optics
Cite this Research Publication : S. Singh, S. Saha Ray, “New Exact Solutions for the Wick-type Stochastic Nonlinear Schrödinger Equation in Nonlinear Optics”, Modern Physics Letters B, 33(9), 1950109, 10 pages. (2019)
Publisher : Modern Physics Letters B
Year : 2019
Higher order approximate solutions of fractional stochastic point kinetics equations in nuclear reactor dynamics
Cite this Research Publication : S. Singh, S. Saha Ray, “Higher order approximate solutions of fractional stochastic point kinetics equations in nuclear reactor dynamics”, Nuclear Science and Techniques, 30(49), 13 pages.
Publisher : Nuclear Science and Techniques
Year : 2018
Numerical Solutions of stochastic Volterra-Fredholm integral equations by Hybrid Legendre Block-Pulse functions
Cite this Research Publication : S. Saha Ray, S. Singh, “Numerical Solutions of stochastic Volterra-Fredholm integral equations by Hybrid Legendre Block-Pulse functions”, International Journal of Nonlinear Sciences and Numerical Simulation, 19(3-4), pp. 289-297. (2018)
Publisher : International Journal of Nonlinear Sciences and Numerical Simulation
Year : 2017
On the comparison of two split-step methods for the numerical simulation of stochastic point kinetics equations in presence of Newtonian temperature feedback effects
Cite this Research Publication : S. Singh, S. Saha Ray, “On the comparison of two split-step methods for the numerical simulation of stochastic point kinetics equations in presence of Newtonian temperature feedback effects”, Annals of Nuclear Energy, 110 (2017), pp. 865–873. (2017)
Publisher : Annals of Nuclear Energy
Year : 2017
Exact solutions for the Wick-type stochastic Kersten- Krasil’shchik coupled KdV-mKdV equations
Cite this Research Publication :
S. Singh, S. Saha Ray, “Exact solutions for the Wick-type stochastic Kersten- Krasil'shchik coupled KdV-mKdV equations”, The European Physical Journal Plus, 132(480), 12 pages. (2017)
Publisher : The European Physical Journal Plus
Year : 2017
Numerical solutions of stochastic nonlinear point reactor kinetics equations in presence of Newtonian temperature feedback effects
Cite this Research Publication : S. Saha Ray, S. Singh, “Numerical solutions of stochastic nonlinear point reactor kinetics equations in presence of Newtonian temperature feedback effects”, Journal of Computational and Theoretical Transport, 48(2), pp. 47-57. (2017)
Publisher : Journal of Computational and Theoretical Transport
Year : 2017
Numerical solutions of stochastic Fisher Equation to study migration and population behavior in biological invasion
Cite this Research Publication :
S. Singh, S. Saha Ray, “Numerical solutions of stochastic Fisher Equation to study migration and population behavior in biological invasion”, International Journal of Biomathematics, 10(7), 14 pages. (2017)
Publisher : International Journal of Biomathematics
Year : 2017
New exact solutions for the Wick-type stochastic modified Boussinesq equation for describing waves propagation in nonlinear dispersive systems
Cite this Research Publication : S. Saha Ray, S. Singh, “New exact solutions for the Wick-type stochastic modified Boussinesq equation for describing waves propagation in nonlinear dispersive systems”, Chinese Journal of Physics, 55(4), pp. 1653-1662. (2017)
Publisher : Chinese Journal of Physics
Year : 2017
New exact solutions for the Wick-type stochastic Kudryashov-Sinelshchikov equation
Cite this Research Publication : S. Saha Ray, S. Singh, “New exact solutions for the Wick-type stochastic Kudryashov-Sinelshchikov equation”, Communications in Theoretical Physics, 67(2), pp. 197-206. (2017)
Publisher : Communications in Theoretical Physics
Year : 2017
New Exact Solutions for the Wick-type Stochastic Zakharov-Kuznetsov equation for modelling waves on shallow water surfaces
Cite this Research Publication : S. Saha Ray, S. Singh, “New Exact Solutions for the Wick-type Stochastic Zakharov-Kuznetsov equation for modelling waves on shallow water surfaces”, Random Operators and Stochastic Equations, 25(3), pp. 107-116. (2017)
Publisher : Random Operators and Stochastic Equations